Abstract

BackgroundPhysical inactivity is one of the leading risk factors for non-communicable diseases, yet many are not sufficiently active. The Physical Activity through Sustainable Transport Approaches (PASTA) study aims to better understand active mobility (walking and cycling for transport solely or in combination with public transport) as an innovative approach to integrate physical activity into individuals’ everyday lives. The PASTA study will collect data of multiple cities in a longitudinal cohort design to study correlates of active mobility, its effect on overall physical activity, crash risk and exposure to traffic-related air pollution.Methods/DesignA set of online questionnaires incorporating gold standard approaches from the physical activity and transport fields have been developed, piloted and are now being deployed in a longitudinal study in seven European cities (Antwerp, Barcelona, London, Oerebro, Rome, Vienna, Zurich). In total, 14000 adults are being recruited (2000 in each city). A first questionnaire collects baseline information; follow-up questionnaires sent every 13 days collect prospective data on travel behaviour, levels of physical activity and traffic safety incidents. Self-reported data will be validated with objective data in subsamples using conventional and novel methods. Accelerometers, GPS and tracking apps record routes and activity. Air pollution and physical activity are measured to study their combined effects on health biomarkers. Exposure-adjusted crash risks will be calculated for active modes, and crash location audits are performed to study the role of the built environment. Ethics committees in all seven cities have given independent approval for the study.DiscussionThe PASTA study collects a wealth of subjective and objective data on active mobility and physical activity. This will allow the investigation of numerous correlates of active mobility and physical activity using a data set that advances previous efforts in its richness, geographical coverage and comprehensiveness. Results will inform new health impact assessment models and support efforts to promote and facilitate active mobility in cities.Electronic supplementary materialThe online version of this article (doi:10.1186/s12889-015-2453-3) contains supplementary material, which is available to authorized users.

Highlights

  • Physical inactivity is one of the leading risk factors for non-communicable diseases, yet many are not sufficiently active

  • In addition to the direct health benefits of physical activity (PA), Active mobility (AM) is linked to higher levels of mental wellbeing [4]; and an increase in AM may lead to city-wide improvements in air quality and additional population health benefits

  • Longitudinal online survey Survey contents To align the survey contents with the research objectives, a detailed conceptual framework was developed based on previous work by others [23,24,25] and a scoping review of determinants of active mobility behaviour

Read more

Summary

Introduction

Physical inactivity is one of the leading risk factors for non-communicable diseases, yet many are not sufficiently active. The Physical Activity through Sustainable Transport Approaches (PASTA) study aims to better understand active mobility (walking and cycling for transport solely or in combination with public transport) as an innovative approach to integrate physical activity into individuals’ everyday lives. Physical inactivity has emerged as a leading risk factor for non-communicable diseases, and is estimated to cause nearly 3.2 million premature deaths per year worldwide [1]. Active mobility (AM), namely walking and cycling for transport solely or in combination with public transport, is well suited for integrating health-promoting PA as part of daily routines such as to travel to work or school. In addition to the direct health benefits of PA, AM is linked to higher levels of mental wellbeing [4]; and an increase in AM may lead to city-wide improvements in air quality and additional population health benefits

Objectives
Methods
Results
Discussion
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.